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WeNet
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{
    "model_type": "ONNX",
    "npu_mode": "NPU1",
    "quant": {
      "input_configs": [
        {
            "tensor_name": "encoder_out",
            "calibration_dataset": "./calibration_dataset/encoder_out.tar.gz",
            "calibration_size": -1,
            "calibration_format": "Numpy"
        },
        {
            "tensor_name": "encoder_out_lens",
            "calibration_dataset": "./calibration_dataset/encoder_out_lens.tar.gz",
            "calibration_size": -1,
            "calibration_format": "Numpy"
        },
        {
            "tensor_name": "hyps_pad_sos_eos",
            "calibration_dataset": "./calibration_dataset/hyps_pad_sos_eos.tar.gz",
            "calibration_size": -1,
            "calibration_format": "Numpy"
        },
        {
          "tensor_name": "hyps_lens_sos",
          "calibration_dataset": "./calibration_dataset/hyps_lens_sos.tar.gz",
          "calibration_size": -1,
          "calibration_format": "Numpy"
        },
        {
          "tensor_name": "r_hyps_pad_sos_eos",
          "calibration_dataset": "./calibration_dataset/r_hyps_pad_sos_eos.tar.gz",
          "calibration_size": -1,
          "calibration_format": "Numpy"
        },
        {
          "tensor_name": "ctc_score",
          "calibration_dataset": "./calibration_dataset/ctc_score.tar.gz",
          "calibration_size": -1,
          "calibration_format": "Numpy"
        }
      ],
      "layer_configs": [
        {
            "start_tensor_names": ["DEFAULT"], 
            "end_tensor_names": ["DEFAULT"], 
            "data_type": "U8"
        } 
      ],
      "calibration_method": "MinMax",
      "conv_bias_data_type": "FP32",
      "disable_auto_refine_scale": true,
      "enable_smooth_quant": true,
      "precision_analysis": true,
      "precision_analysis_method": "EndToEnd",
      "transformer_opt_level": 1
    },
    "input_processors": [
      {
        "tensor_name": "encoder_out",
        "src_dtype": "FP32"
      },
      {
        "tensor_name": "encoder_out_lens",
        "src_dtype": "S32"
      },
      {
        "tensor_name": "hyps_pad_sos_eos",
        "src_dtype": "S32"
      },
      {
        "tensor_name": "hyps_lens_sos",
        "src_dtype": "S32"
      },
      {
        "tensor_name": "r_hyps_pad_sos_eos",
        "src_dtype": "S32"
      },
      {
        "tensor_name": "ctc_score",
        "src_dtype": "FP32"
      }
    ],
    "compiler": {
      "check": 0
    }
  }